43 search results - page 1 / 9 » Efficiently Constructing Relational Features from Background... |
KDD
1994
ACM
13 years 9 months ago
1994
ACM
ECML
1998
Springer
13 years 9 months ago
1998
Springer
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
GIS
1992
ACM
13 years 9 months ago
1992
ACM
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
ICML
1991
IEEE
13 years 8 months ago
1991
IEEE
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which ...